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Computer Auditing / Information Systems / Auditing / Data Science as majors)
insurance space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer)Â
Knowledge
perform data quality checks in a methodical manner to understand how to accurately utilize client data.
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
Role : AWS Data Engineer Location : Johannesburg [ 3 Days in a week from office] Duration : 12 Months are seeking a highly motivated and experienced AWS Data Engineer to join our Global Markets division. In quantitative analysts, and data scientists to design, develop, and maintain data infrastructure and pipelines background in C# or Python programming and building data pipelines on AWS, especially with AWS Glue Jobs contributing to the design and implementation of data pipelines to support global markets business. It
ITE005925-TMo-1 Looking for a brilliant and inspiring Data Analyst to work in a high tempo and demanding environment / Auditing / Data Science as majors) Job Experience & Skills Required: 5 years data analytics experience SQL, Power BI Experience in data auditing/process auditing through data analytics. Management/Review
to address business challenges.
institution in South Africa, is seeking a Data Solutions Architect to join Purpose
Responsibilities:
We are seeking a meticulous and detail-oriented Data Capturer to join our clients insurance brokerage and efficiently input and update insurance-related data into our databases. The successful candidate will learn are encouraged to apply. Data Capturing: Enter insurance-related data into the company's database quote information, claims data and other relevant insurance-related data. Data Verification: Review and and cross-check the captured data for errors, inconsistencies, or missing information. Make necessary corrections
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud